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Subspace-based frequency estimation utilizing prior information
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2011 (English)In: SSP 2011, the IEEE Workshop on Statistical Signal Processing, Nice, France, Piscataway, NJ: IEEE , 2011, 533-536 p.Conference paper, Published paper (Refereed)
Abstract [en]

In certain frequency estimation applications one or more of the underlying frequencies are known. For example, in rotary machines the known frequency may be a strong network frequency masking important closely spaced frequencies. Being able to include this information in the design of the estimator can be expected to improve the performance when estimating such closely spaced frequencies. We present a framework to include such prior information in a class of subspace-based estimators. Through Monte Carlo simulations and real-data applications we show the usefulness of our approach.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE , 2011. 533-536 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-165501DOI: 10.1109/SSP.2011.5967751ISBN: 978-1-4577-0569-4 (print)OAI: oai:DiVA.org:uu-165501DiVA: diva2:473995
Conference
IEEE Statistical Signal Processing Workshop (SSP 2011) : Nice, France, 28 - 30 June 2011
Available from: 2012-01-08 Created: 2012-01-08 Last updated: 2012-06-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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